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Advancing its emerging leadership in next-generation data-intensive applications processing and analytics,  Pervasive Software Inc. announced its Academic Alliance Program.

Building on exciting results from initial projects with academic partners, including The University of Texas at Austin, the Pervasive DataRush team plans to expand its academic outreach to allow qualifying universities and not-for-profit research groups access to a free academic license and the opportunity to explore joint development opportunities with Pervasive DataRush and Innovation Labs advanced technologists.

“With the highly parallelized architecture of Pervasive DataRush and the proliferation of multicore and soon many-core servers, Pervasive sees the opportunity to team with innovative academic talent to bring supercomputing-level capacity to the desktop,” said Mike Bryars, Pervasive DataRush general manager. “The applications we can jointly develop to unlock the value of data in massive datasets have the potential to impact initiatives in biomedicine, data mining, pharmaceuticals, telecommunications and beyond.”

Pervasive Software successfully partnered with University of Texas at Austin researchers recently to develop and test Pervasive DataRush-powered co-clustering technology and specialized algorithms for a high-performance recommender system based on Netflix data. The joint project resulted in a scientific paper, “Pervasive Parallelism in Data Mining: Dataflow Solution to Co-clustering Large and Sparse Netflix Data,” that has been selected for presentation at the 15th Annual SIGKDD Conference on Knowledge Discovery and Data Mining 2009 taking place June 28-July 1 in Paris, France. The teams also partnered in the KDD Cup 2009 Challenge, “Fast Scoring on a Large Database,” based on a large dataset provided by Orange Labs.

“Our joint projects with Pervasive have yielded exciting and ground-breaking results in highly parallel data mining leveraging state-of-the-art algorithms and commodity multicore hardware platforms,” said Joydeep Ghosh, The Schlumberger Centennial Chair Professor of Electrical and Computer Engineering at The University of Texas at Austin. “Together we’ve successfully exploited the Pervasive DataRush massively parallel architecture, with its rich vertical and horizontal partitioning and data pipelining, to deliver unprecedented scaling on both data size and data dimensionality.”

“We are eager to expand our collaboration with leading scientific and technical researchers, including collaborating with qualifying institutions to help them establish formal classroom instruction around applying Pervasive DataRush and its associated programming, applications and underlying horizontal and vertical partitioning and pipelining technology,” Bryars added.


About Pervasive Software

Pervasive Software (NASDAQ: PVSW) helps companies get the most out of their data investments through embeddable data management, agile data integration software and revolutionary next generation analytics. The embeddable Pervasive PSQL database engine allows organizations to successfully embrace new technologies while maintaining application compatibility and robust database reliability in a near-zero database administration environment. For more information visit www.pervasive.com

Source:  Pervasive Software